Komputasi Genomik (Q)
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Course Description
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Week #1: Introduction to Computational Genomic
Introduction to Computational Genomic
Week #2: DNA Central Dogma [Async Meeting]
DNA Central Dogma
Genome Datasets
Week #3: Sequence Statistics
Sequence Statistics
Unusual Motif
Week #4: Pseudogenes
Pseudogenes
Pseudogenes annotation
Week #5: GC Contents
GC Contents
GC Contents
Week #6: Hidden MArkov Model
Introduction to Hidden Markov Model (HMM)
HMM Program Example
HMM source code
BW Training
HMM.java
Hidden Markov Model
Week #7: Open Reading Frame Finder, Change Point Analysis
Open Reading Frame (ORF)
Week #8: Technical Skill Development
HMM for GC Content
Finding DNA with HMM
New solutions for gene finding
Hidden Markov Models and their Applications in Biological Sequence Analysis
A hidden Markov model that finds genes in E.coli DNA
Week #9: Sequence Alignment
Sequence Alignment
sequence alignment methods open source
Sequence Alignment Program Example
Sequence Alignment
Week #10: Program Development Project
Gene Editing
Section 11
introduction-to-computational-genomics-a-case-studies-approach
Species Variation
Jukes-Cantor Model
Assignment #s1
Section 12
#10 Rapid Alignment Methods_ FASTA and BLAST
blast code example
Computational Genome Analysis_ An Introduction
Assignment #s2
Section 14
Ch.8 DNA Sequence Assembly
read
read rev cpl
Assignment #s3
Final Project Reporting
Schedule Demo
Demo 2 Schedule
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Panduan Dosen
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[Video] Panduan Membuat Video Asinkronus dengan Power Point
Panduan Mahasiswa
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Komputasi Genomik (Q)
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Institut Teknologi Sepuluh Nopember
Sarjana
Fakultas Teknologi Elektro dan Informatika Cerdas
S-1 TEKNIK BIOMEDIK
Semester Genap 2024/2025
Komputasi Genomik (Q)
Summary
Komputasi Genomik (Q)
Teacher:
Achmad Arifin
Teacher:
Mohammad Nuh
Teacher:
Norma Hermawan